PAMA Energy Study II WbiWebinar - Sunair Awnings Energy Study II Awnings...  The Professional Awning

  • View

  • Download

Embed Size (px)

Text of PAMA Energy Study II WbiWebinar - Sunair Awnings Energy Study II Awnings...  The Professional...

  • PAMA Energy Study II W biWebinar


  • The Professional Awning Manufacturers Association (PAMA) is the trade association

    committed to supporting the awning industry in the United States.

    Membership is open to companies who manufacture or supply material to the awning Membership is open to companies who manufacture or supply material to the awning

    industry, and are who are current members of the Industrial Fabrics Association

    International (IFAI).

    PAMA provides a forum to exchange information, solve common problems, and develop

    mutually beneficial relationships for its members.


  • PAMA Energy Study II

    1 Background1. Background2. Energy Simulation and Model3. Overview of Results3. Overview of Results4. Highlights of one city: Dallas/Fort Worth

    Presented today by: John Gant, Glen Raven Sunbrellajgant@glenraven


  • In 2007, PAMA initiated its first study:

    Awnings in Residential Buildings: The Impact on Energy Use and Peak Demand with John Carmody, Director of Center for Sustainable Building Research, University of Minnesota.

    H i i ll i d l di i b ildi i d i d h lHe is nationally recognized as a leading expert in building energy science, and window technology.

    Dr. Carmody engaged Dr. Joe Huang to carry out the programming and calculations.

    Some conclusions were:

    Awnings have advantages that contribute to more sustainable buildings. Awnings

    result in cooling energy savings by reducing direct solar gain through windows.

    P k l t i it d d i l d d t ti ll lti i d d h i lPeak electricity demand is also reduced, potentially resulting in reduced mechanical

    equipment costs, and overall savings to utility companies from a decreased need to

    build new generating capacity.

    The 2007 research report is available from PAMA or the University of Minnesota CSBR website.


  • 5

  • In 2012, PAMA contracted with Dr. Joe Huang to update the study. The update

    increased the number of variations - of cities, shade designs, and fabrics. The new

    study uses updated information about weather and energy costs, and it includes

    programming improvements to the simulation model.

    Dr. Joe Huang is a research computer scientist with a long career in building

    i l ti H i id t f th lti Whit B T h l i Henergy simulation. He is president of the consulting group White Box Technologies. He

    has held positions at Lawrence Berkeley National Laboratory and other prestigious

    organizations in his career. Dr. Huang utilized DOE-2 Simulation Software developed at

    Berkeley National Lab to model building energy performance.

    The complete research report will be available to members on the PAMA website.


  • PAMA Energy Study IIgy y


    Develop information about the Energy Conservation benefit of Fabric Window Shading for:

    1. PAMA to use to educate members

    2. Members to use in their marketing and sales efforts

    3. Members to use in their product design and application

    4. PAMA to use in industry publicity to the market

    5. PAMA to use in the promotion of shading to the government and utilities


  • Department of Energy Call to ActionDepartment of Energy Call to Action

    Buildings consume 40% of Energy, or 71% of Electricity in the USA.2% of the nations energy is used to COOL HOMES.Windows and Window Attachments impact cooling, heating, and lighting.


  • Technical Performance of Fabric ShadingTechnical Performance of Fabric Shading

    BENEFITS when installed over Windows: Solar Shading Reduce Cooling Costs Solar Shading Thermal Comfort Glare Reduction Visual Comfort Daylight Management UV Protection - for Health, for Furnishings

    Residential & Low Rise Commercial BuildingsResidential & Low Rise Commercial BuildingsRetrofits of Existing Buildings and New Construction


  • Awnings block the energy of the sun before it is allowed toAwnings block the energy of the sun before it is allowed to pass through the window and get trapped in the home.


  • Solar Shading Exterior versus InteriorSolar Shading: Exterior versus Interior

    Exterior Shade Interior Shade


    Exterior ShadeSHGC = 15%

    (85% reduction)

    Interior ShadeSHGC = 50%

    (50% reduction)

  • Exterior Fabric Shading for Homesg

    Stationary Awning Drop Arm Awning Exterior Roller Screen90 165 Fully Closed


  • Simulation - Models of Fabric Shadingg

    1. Stationary Awning (90)Fabric choices: BLACK acrylic

    LINEN acrylic

    2 Drop Arm Awning (165)2. Drop Arm Awning (165 )

    Fabric choices: BLACK acrylicLINEN acrylic

    3. Exterior Roller Screen

    Fabric choices: Black/Brown 25% OFFabric choices: Black/Brown 25% OF Black/Brown 10% OF Black/Brown 10% OF full basketweave Black 5% OF full basketweaveWhit 5% OF f ll b k tWhite 5% OF full basketweave


  • Si l ti M d l f F b i Sh di

    Awning Fabrics

    Simulation - Models of Fabric Shading

    Solar Transmittance


    Visible Light Transmittance

    Shade Coefficient 1/8CL

    Linen 13 % < 0.1% 4 % 0.24Black < 0.1% < 0.1% < 0.1% 0.11

    Roller Screen FabricsSolar


    FactorVisible Light

    TransmittanceShade Coefficient

    1/8CLTransmittance Factor Transmittance 1/8CLBlack/Brown 25% OF 24 % 25 % 30 % 0.33Black/Brown 10% OF 11 % 10 % 14 % 0.21Black/Brown 10% OF

    Full basketweave 9 % 10 % 11 % 0 19Full basketweave 9 % 10 % 11 % 0.19Black 5% OF

    Full basketweave 5 % 5 % 8 % 0.16White 5% OF

    Full basketweave 15 % 5 % 12 % 0 17Full basketweave 15 % 5 % 12 % 0.17


  • Si l ti M d l HSimulation Model Home

    Changes from 2007 study Electric Rates up in most areas by as much as 10% Older house - less insulation and 10% smaller Revised shading impact from neighboring buildingsRevised shading impact from neighboring buildings Revised utilization schedules

    The idea is that Awnings and Shades are smart retrofits which help older homes become more energy efficient.


  • Si l ti M d l HSimulation Model Home

    1800 square foot house circa 1980 and older1800 square foot house, circa 1980 and older 2 Variations of Shade Utilization Summer or Year-round 3 Variations of window glass g 4 Variations on primary orientation of the house (N,E,S,W) 2 Weather patterns for each City

    48 combinations x 9 shade variations = 432 scenarios per city


  • Si l ti M d l HSimulation Model Home

    Utilization / Operation of the Shading

    AWNINGS - Summer = used for the season, 24 hours a day, each dayTwo positions (90 or 165 )Two positions (90 or 165 )

    ROLLER SHADES Summer = used hour-to-hour as needed !Fully Closed position (activated over the window)

    AWNINGS and ROLLER SHADES : 12 month = permanently installed


  • Si l ti M d l HSimulation Model Home

    Window Type Single-pane Clear Glass (46% of US homes: 51 million) Double-pane Clear Glass (46% of US homes) Double-pane Hi-Solar Gain Low-E Glass ( 8 % new & modern replacement)Double pane Hi Solar Gain Low E Glass ( 8 %, new & modern replacement)

    15% window/floor ratio: > 270 ft2 of windows > 22 windows total > 11 awnings?


  • Si l ti M d l HSimulation Model Home

    Two Weather Patterns for Each CityTwo Weather Patterns for Each City

    Typical YearTMY3 created from a 15 year period

    Hottest Years

    Year # of Cities

    2001 3TMY3 created from a 15 year period consolidation of actual data from 1991 to 2005

    Hottest Year

    2001 3

    2002 0

    2003 4

    2004 1 Hottest Year

    Selected from past 10 years (2001-2011)

    On average the Hottest Year caused Cooling costs to be

    2005 4

    2006 1

    2007 8

    2008 1On average, the Hottest Year caused Cooling costs to be 50% higher than in a Typical Year.

    The savings due to Shading was 27% to 40% higher

    2008 1

    2009 2

    2010 15

    2011 11than in a Typical Year.


    2011 11

  • Si l ti L tiSimulation - Locations50 Cities

    1. Anchorage, AK2. Birmingham, AL3. Mobile, AL4. Little Rock, AR

    18. Atlanta, GA19. Honolulu, HI20. Boise, ID21. Chicago, IL

    35. New York, NY36. Cincinnati, OH37. Oklahoma City, OK38. Medford, OR

    5. Phoenix, AZ6. Tucson, AZ7. Burbank, CA8. Fresno, CA9 P l S i CA

    22. Indianapolis, IN23. New Orleans, LA24. Boston, MA25. Portland, ME26 D t it MI

    39. Portland, OR40. Philadelphia, PA41. Pittsburgh, PA42. Charleston, SC43 M hi TN9. Palm Springs, CA

    10. Sacramento, CA11. San Diego, CA12. San Francisco, CA13. Denver, CO

    26. Detroit, MI27. Minneapolis, MN28. Kansas City, MO29. St Louis, MO30. Charlotte, NC

    43. Memphis, TN44. El Paso, TX45. Fort Worth, TX46. Houston, TX47. San Antonio, TX13. Denver, CO

    14. Washington, DC15. Jacksonville, FL16. Miami, FL17. Tampa, FL

    30. Charlotte, NC31. Omaha, NE32. Albuquerque, NM33. Las Vegas, NV34. Buffalo, NY

    47. San Antonio, TX48. Salt Lake, UT49. Norfolk, VA50. Seattle, WA


  • PAMA Energy Study II Cities


  • Window Awnings Hot Year - Cooling Energy Savings


  • Window Awnings Hot Year Cooling Energy SavingsWindow Awnings Hot Year Cooling Energy Savings


  • Window Awnings Hot Year Cooling Energy SavingsWindow Awnings Hot Year Cooling Energy Savings


  • Roller Screens Hot Year Cooling Energy Savingsg gy g